Helper function to initialize LIF state #156
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arvoelke
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Dec 4, 2018
arvoelke
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Dec 5, 2018
arvoelke
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Dec 5, 2018
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Test failing due to pytest upgrade while old tests are using older version of nengo. nengo/nengo@9e8f363#diff-b5e89441c0e97432af7158d317237833. Thinking I should use an older version of pytest for the Nengo versions prior to nengo/nengo#1443. |
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Codecov Report
@@ Coverage Diff @@
## master #156 +/- ##
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Coverage 100% 100%
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Files 29 30 +1
Lines 1398 1431 +33
Branches 162 165 +3
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+ Hits 1398 1431 +33
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Closes issue #150.
This fixes the issue in nengo/nengo#1122 which was triggered by a few tests in python2.7
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Related to nengo/nengo#1415.
This adds a helper function that can be used as follows:
to initialize the state of the
LIFensemblexby sampling the steady-state solution given the zero vector as input. This is mathematically equivalent to fast-forwarding in time (to after the mixing time of the stochastic process, and after any subthreshold neurons have stabilized atv = J), which solves the problem of the start of the simulation having some initial transient / degenerate state.It also takes into account the tuning curves (e.g., for thresholding ensembles), and supports initializing at values other than 0, including higher-dimensions.
TODO: